Hello,

We provide End to end IoT managed services. The services are somehow new in the industry and our focus is to deliver value through on-demand, real-time data-processing for industrial sensors and provide monitoring insights through powerful visualizations, anomaly detection, predictive maintenance, and KPI identification with eventual AI to provide advice and alerts have a challenge conceptualizing, work-flowing, and finding the most intelligent, simple, and straightforward manner to potential clients (via distributor and agents or directly by the customer) the project is to identify several use cases, and for each one created based on industry best practices and business analytics knowledge create the dashboards that will be presented to the user based on 3 classes of services (basic, premium, platinum) from basic measurements to advanced analytics and also regressions, progressions, best model match, benchmarking against industry parameters, or against particular machine specifications

The topic is IoT (internet of things), industrial and commercial focus, SaaS (software as service) this includes several "dimensions", few connectivity scenarios (wired, wireless, Lora, LTE) even combined, gateway aggregation of sensors across deployment, Heartbeat packages (# of messages/ unit (second, hr, day, event) based on the DATA RATES required for the particular use case (some need several measures per second and others once per hour) the requirement is to formulate the problem and create excel tables, perform excel sample of programming and create backend/frontend to add to our website. Also to develop the graphics, models and templates using our ADVANCED ANALYTICAL TOOLS.